Institute for World Forestry, University of Hamburg, Leuschnerstr, 91, 21031 Hamburg, Germany.
Carbon Balance Manag. 2009 Nov 13;4:10. doi: 10.1186/1750-0680-4-10.
Following recent discussions, there is hope that a mechanism for reduction of emissions from deforestation and forest degradation (REDD) will be agreed by the Parties of the UNFCCC at their 15th meeting in Copenhagen in 2009 as an eligible action to prevent climate changes and global warming in post-2012 commitment periods. Countries introducing a REDD-regime in order to generate benefits need to implement sound monitoring and reporting systems and specify the associated uncertainties. The principle of conservativeness addresses the problem of estimation errors and requests the reporting of reliable minimum estimates (RME). Here the potential to generate benefits from applying a REDD-regime is proposed with reference to sampling and non-sampling errors that influence the reliability of estimated activity data and emission factors.
A framework for calculating carbon benefits by including assessment errors is developed. Theoretical, sample based considerations as well as a simulation study for five selected countries with low to high deforestation and degradation rates show that even small assessment errors (5% and less) may outweigh successful efforts to reduce deforestation and degradation.
The generation of benefits from REDD is possible only in situations where assessment errors are carefully controlled.
在最近的讨论之后,人们希望联合国气候变化框架公约缔约方会议第十五次会议(2009 年,哥本哈根)能够就一项减少因森林砍伐和森林退化所致温室气体排放的机制(REDD)达成协议,将其作为防止气候变化和全球升温的合格行动纳入 2012 年后承诺期。为了产生效益而引入 REDD 机制的国家需要实施健全的监测和报告系统,并明确相关的不确定性。保守性原则解决了估计误差问题,并要求报告可靠的最低估计值(RME)。本文提出了一种利用 REDD 机制产生效益的方法,参考了影响估算活动数据和排放因子可靠性的抽样和非抽样误差。
本文开发了一个包含评估误差的计算碳效益的框架。理论上、基于样本的考虑因素以及对五个具有低至高森林砍伐和退化率的选定国家的模拟研究表明,即使是很小的评估误差(5%及以下)也可能超过成功减少森林砍伐和退化的努力。
只有在认真控制评估误差的情况下,才能从 REDD 中产生效益。